1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects
Hang-Cheng Dong, Yibo Jiao, Fupeng Wei +3
Industrial surface defect inspection for sample-wise quality control (QC) must simultaneously decide whether a given sample contains defects and localize those defects spatially. I…
cs.CV2025
Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception
Hang-Cheng Dong, Lu Zou, Bingguo Liu +2
Surface defect detection plays a critical role in industrial quality inspection. Recent advances in artificial intelligence have significantly enhanced the automation level of dete…
cs.CV2023★ 1 cited
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise
Hang-Cheng Dong, Yuhao Jiang, Yingyan Huang +4
Class activation maps are widely used for explaining deep neural networks. Due to its ability to highlight regions of interest, it has evolved in recent years as a key step in weak…